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For Companies At a Glance
- Tasks: Build and maintain advanced data pipelines while participating in the investment process.
- Company: Dynamic venture capital firm in London focused on data-driven decisions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a high-impact role at the intersection of data science and venture investing.
- Qualifications: 1-2 years in data science or ML engineering with strong Python and SQL skills.
- Other info: Exciting opportunity to work with cutting-edge AI technologies in a vibrant startup environment.
The predicted salary is between 36000 - 60000 £ per year.
A data-driven venture capital firm in London is looking for a Data Scientist and Investment Associate. This hybrid role involves building and maintaining advanced data engineering and machine learning pipelines, participating in the investment process, and integrating cutting-edge AI technologies.
The ideal candidate should have 1–2 years of experience in data science or ML engineering, strong skills in Python and SQL, and a passion for technology and startups. This is a high-impact role at the intersection of data and venture investing.
Data Scientist & Investment Associate, VC Sourcing Lead in London employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & Investment Associate, VC Sourcing Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the venture capital space, attend industry events, and connect with professionals on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python and SQL, and think about how you've used these tools in real-world scenarios. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your passion for technology and startups, and let us know why you're a great fit.
We think you need these skills to ace Data Scientist & Investment Associate, VC Sourcing Lead in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data science and venture capital. Share specific examples of projects or experiences that highlight your skills in Python and SQL, and how they relate to the role.
Tailor Your CV and Cover Letter: Make sure your CV and cover letter are tailored to the job description. Highlight relevant experience in data engineering and machine learning, and don’t forget to mention any exposure to AI technologies. We want to see how you fit into our world!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, we’re looking for high-impact candidates, so make every word count!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Jack & Jill
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning concepts. Be ready to discuss your experience with Python and SQL, and prepare to showcase any projects you've worked on that highlight your skills in building data pipelines.
✨Understand the VC Landscape
Familiarise yourself with the venture capital industry, especially how data plays a role in investment decisions. Research recent trends and successful startups to show your passion for technology and investing during the interview.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge. Practice common data science problems and be ready to explain your thought process clearly. This will demonstrate not just your knowledge, but also your problem-solving approach.
✨Show Your Enthusiasm
Let your passion for technology and startups shine through. Share why you're excited about this role and how you see yourself contributing to the firm’s success. A genuine interest can set you apart from other candidates.
